Senior Engineering Lead - Edge AI Systems

Senior Engineering Lead - Edge AI Systems Location: Kochi (on-site preferred) Reports to: Head of Engineering / CTO About the Role We're looking for a hands-on Senior Engineering Lead to own delivery of Flagman, our edge AI computer vision platform deployed in industrial environments. You'll lead a team of 6 engineers spanning embedded systems, ML/computer vision, and cloud infrastructure — while staying in the code yourself. This is a player-coach role: you're accountable for timelines and release quality, and technically credible enough to unblock the team when it matters. What you will do Own project planning, sprint execution, and release timelines across embedded, ML, and infrastructure workstreams; flag risks and slips early with credible mitigation plans Break ambiguous product requirements into scoped, estimable work and manage cross-track dependencies Review and contribute code across the stack: Python ML pipelines (detection, tracking, edge inference), embedded Linux in C++ (GStreamer, GPIO, systemd), and backend services (Go, PostgreSQL) Lead design reviews for high-stakes changes and personally take on critical-path tasks when the team is stretched Debug production issues on real hardware in the field Manage, mentor, and grow the team: 1:1s, goals, feedback, performance conversations, and hiring Coordinate with field engineering on deployments and customer escalations What we are looking for: Must-have 8+ years of engineering experience, with 2+ years leading a team Track record of shipping hardware-adjacent or embedded products on committed timelines Strong hands-on skills in at least two of: embedded Linux with C++ exposure, ML inference/deployment (PyTorch, ONNX), backend services (Go or Python, PostgreSQL) — and able to review code across all three Confident with AI-assisted coding workflows, using them to accelerate delivery without compromising quality Clear written communication: status updates, design docs, postmortems Strong plus Edge AI / computer vision product experience (camera systems, video pipelines) Industrial automation exposure: PLCs, industrial protocols, sensors CI/CD for embedded targets and on-device testing Success Looks Like Releases ship on committed dates or slips are flagged early; field-reported issues turn around fast; the team retains, grows, and owns their areas clearly.